Cheng Ouyang1,2, Tobia Wech1,3,
Kamal Vij4, Li Pan1,5
1Center for Applied Medical
Imaging, Siemens Corporate Research, Baltimore, MD, United States; 2Bioengineering,
University of Illinois at Urbana-Champaign, Urbana, IL, United States; 3Institute
of Radiology, University of Wuerzburg, Wuerzburg, Bavaria, Germany; 4SurgiVision,
Inc., Irvine, CA, United States; 5Department of Radiology &
Radiological Science, Johns Hopkins University, Baltimore, MD, United States
In interventional MRI, it is crucial to visualize catheter devices in real time. Compressed sensing (CS) has been recently proposed as a promising approach to accelerate MR imaging and data acquisition of sparse objects. However, current literature reports on this topic are limited to date to offline simulation studies, and true real-time visualization is hindered due to the bottleneck of time-consuming non-linear iterative CS image reconstruction. To our knowledge, no online implementation of CS on both image acquisition and reconstruction has yet been reported on a standard clinical MR scanner. In this work, we present a feasibility study on the use of CS for online real-time catheter visualization. The results from our study illustrate that a framework of online real-time CS acquisition and reconstruction can be successfully established, resulting in frame rates sufficient for real-time visualization of a moving catheter with typical velocity.
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